Download png, svg
AI explanation
As the number of robberies in the District of Columbia decreased, it led to a corresponding decrease in the number of thieves looking for new, free desktop backgrounds to use as their computer wallpaper. After all, even robbers have standards when it comes to their digital aesthetics!Model: dalle-3
Prompt: [ a Polaroid photo ] Show a dimly lit street in the District of Columbia, with a police officer standing outside a house, shining a flashlight around the area. In the background, a computer store's window displays a sign reading "Fewer Robberies, Secure Locks". Inside the store, a stack of desktop computers sits untouched. In the foreground, a person is sitting at a desk, gazing at their unchanging desktop background, with fewer Google searches for "desktop background" on their screen. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Robberies in District of Columbia and Google searches for 'desktop background'. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Celtic art a Polaroid photo Scalar art Macabre Data cyber art
ChatGPT: a Polaroid photo
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Robberies in District of Columbia and Google searches for 'desktop background', in the following situation: It seems that as the number of robberies in the District of Columbia decreased, fewer criminals were able to make off with stolen goods, including desktop computers. This led to a decreased demand for new desktop backgrounds, as there were fewer stolen computers in need of customization. It's as if the thieves realized that stealing desktops wasn't a "bright" idea after all – they were probably just "window shopping" for easy targets, but now they've been "screened" out. Looks like the District of Columbia has "locked down" on crime, and as a result, the virtual wallpapers are also feeling a little "less thieved" of their potential!. Keep the description simple.
ChatGPT: In a quiet street in the District of Columbia, a police officer stands outside a house, shining a flashlight around the area. Nearby, a computer store's window displays a sign reading "Fewer Robberies, Secure Locks". Inside the store, a stack of desktop computers sits untouched. Meanwhile, a computer user at home gazes at their unchanging desktop background, with fewer Google searches for "desktop background" on their screen.
Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ a Polaroid photo ] and depicting this scene: In a quiet street in the District of Columbia, a police officer stands outside a house, shining a flashlight around the area. Nearby, a computer store's window displays a sign reading "Fewer Robberies, Secure Locks". Inside the store, a stack of desktop computers sits untouched. Meanwhile, a computer user at home gazes at their unchanging desktop background, with fewer Google searches for "desktop background" on their screen. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [ a Polaroid photo ] Show a dimly lit street in the District of Columbia, with a police officer standing outside a house, shining a flashlight around the area. In the background, a computer store's window displays a sign reading "Fewer Robberies, Secure Locks". Inside the store, a stack of desktop computers sits untouched. In the foreground, a person is sitting at a desk, gazing at their unchanging desktop background, with fewer Google searches for "desktop background" on their screen.
*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.
I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how a decrease in Robberies in District of Columbia caused desktop background (Google searches for 'desktop background') to decrease. Add a funny one-liner at the end.
AI academic paper
The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background' The Journal of Applied Absurdity Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Robberies in District of Columbia and Google searches for 'desktop background'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Make the title punny if you can come up with clever pun. If not, make it sound serious.
Your research team used data from FBI Criminal Justice Information Services and Google Trends to assess this nagging question. You found a correlation coefficient of 0.9486691 and p < 0.01 for 2007 to 2022.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'
[[ABSTRACT]]
This paper presents the findings of a study examining the intriguing relationship between the occurrence of robberies in District of Columbia and the prevalence of Google searches for 'desktop background'. Utilizing data from FBI Criminal Justice Information Services and Google Trends, the research team conducted a comprehensive analysis for the period of 2007 to 2022. Surprisingly, a remarkably high correlation coefficient of 0.9486691 and a statistically significant p-value of less than 0.01 were observed. The implications of these findings and the potential explanations behind this unexpected correlation are thoroughly discussed, shedding light on the whimsical nature of human behavior and the transformative power of desktop aesthetics.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the introduction section of an academic research paper presenting the findings of the connection between Robberies in District of Columbia and Google searches for 'desktop background'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Here is the title and abstract of the paper:
[[TITLE]]
The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'
[[ABSTRACT]]
This paper presents the findings of a study examining the intriguing relationship between the occurrence of robberies in District of Columbia and the prevalence of Google searches for 'desktop background'. Utilizing data from FBI Criminal Justice Information Services and Google Trends, the research team conducted a comprehensive analysis for the period of 2007 to 2022. Surprisingly, a remarkably high correlation coefficient of 0.9486691 and a statistically significant p-value of less than 0.01 were observed. The implications of these findings and the potential explanations behind this unexpected correlation are thoroughly discussed, shedding light on the whimsical nature of human behavior and the transformative power of desktop aesthetics.
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
In the sprawling metropolis of the District of Columbia, where the hustle and bustle of urban life intersects with the serene glow of computer screens, a peculiar relationship has emerged. The crossroads between criminal activity and virtual aesthetics form the backdrop of our investigation, as we delve into the curious correlation between robberies and Google searches for 'desktop background'.
While one might initially dismiss this seemingly frivolous connection as mere happenstance, our research endeavors to unravel the enigmatic web of causality that links crimes in the physical realm to the virtual quest for visual allure. The allure of desktop backgrounds may seem innocuous, but as our study reveals, it may hold unforeseen influence over criminal proclivities.
As we embark on this lighthearted yet thought-provoking exploration, it is imperative to acknowledge the glaring juxtaposition of the serious matter of criminal activity with the seemingly trivial pursuit of desktop customization. However, it is precisely within this interplay of the weighty and the whimsical that the nuance of human behavior is laid bare, offering a glimpse into the intricate tapestry of motivations that underpin our societal dynamics.
The pursuit of understanding the relationship between robberies and desktop backgrounds may initially appear far-fetched, yet the empirical evidence that we present will compel even the staunchest skeptics to reconsider their assumptions. With a nod to the capricious nature of human behavior and the unexpected synergies that underlie it, our research unearths unexpected correlations that prompt both chuckles and contemplation.
As we navigate the terrain of statistical analysis and psychological inference, the fusion of the serious and the playful becomes apparent, mirroring the delightful unpredictability of humanity itself. Join us in this academic escapade as we venture into the realm where crime statistics and digital delights converge, shedding light on the whimsical nature of our collective actions and the transformative power of aesthetics, even in the unlikeliest of contexts.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a literature review section of an academic research paper presenting the findings of the connection between Robberies in District of Columbia and Google searches for 'desktop background'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.
Make up the lorem and ipsum part, but make it sound related to the topic at hand.
Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.
Here is the title and abstract of the paper:
[[TITLE]]
The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'
[[ABSTRACT]]
This paper presents the findings of a study examining the intriguing relationship between the occurrence of robberies in District of Columbia and the prevalence of Google searches for 'desktop background'. Utilizing data from FBI Criminal Justice Information Services and Google Trends, the research team conducted a comprehensive analysis for the period of 2007 to 2022. Surprisingly, a remarkably high correlation coefficient of 0.9486691 and a statistically significant p-value of less than 0.01 were observed. The implications of these findings and the potential explanations behind this unexpected correlation are thoroughly discussed, shedding light on the whimsical nature of human behavior and the transformative power of desktop aesthetics.
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the sprawling metropolis of the District of Columbia, where the hustle and bustle of urban life intersects with the serene glow of computer screens, a peculiar relationship has emerged. The crossroads between criminal activity and virtual aesthetics form the backdrop of our investigation, as we delve into the curious correlation between robberies and Google searches for 'desktop background'.
While one might initially dismiss this seemingly frivolous connection as mere happenstance, our research endeavors to unravel the enigmatic web of causality that links crimes in the physical realm to the virtual quest for visual allure. The allure of desktop backgrounds may seem innocuous, but as our study reveals, it may hold unforeseen influence over criminal proclivities.
As we embark on this lighthearted yet thought-provoking exploration, it is imperative to acknowledge the glaring juxtaposition of the serious matter of criminal activity with the seemingly trivial pursuit of desktop customization. However, it is precisely within this interplay of the weighty and the whimsical that the nuance of human behavior is laid bare, offering a glimpse into the intricate tapestry of motivations that underpin our societal dynamics.
The pursuit of understanding the relationship between robberies and desktop backgrounds may initially appear far-fetched, yet the empirical evidence that we present will compel even the staunchest skeptics to reconsider their assumptions. With a nod to the capricious nature of human behavior and the unexpected synergies that underlie it, our research unearths unexpected correlations that prompt both chuckles and contemplation.
As we navigate the terrain of statistical analysis and psychological inference, the fusion of the serious and the playful becomes apparent, mirroring the delightful unpredictability of humanity itself. Join us in this academic escapade as we venture into the realm where crime statistics and digital delights converge, shedding light on the whimsical nature of our collective actions and the transformative power of aesthetics, even in the unlikeliest of contexts.
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
The perplexing correlation between robberies in the District of Columbia and Google searches for 'desktop background' has captured the attention of researchers from various disciplines. Smith et al. (2015) conducted a comprehensive study on crime patterns in urban environments, shedding light on the complex interplay between socioeconomic factors and criminal behavior. However, it is the unexpected link to virtual aesthetics that adds a whimsical twist to the rather serious topic of criminal activities. Doe and Jones (2018) analyzed the impact of digital culture on modern society, exploring the allure of virtual spaces and the way in which they intersect with real-world experiences. Their findings hint at the potential influence of digital environments on human behavior, laying the groundwork for our investigation into the desktop bandit phenomenon.
In "Cyberspace and Society," the authors delve into the intricate dynamics of online interactions, offering valuable insights into the ways in which virtual realms can shape our perceptions and actions. The virtual realm, it seems, holds more sway over our physical reality than we may care to admit. On the fictional front, books such as "The Desktop Detective Chronicles" and "The Cybercrime Conundrum" paint fantastical narratives that, while purely imaginative, touch upon the curious interconnectedness of digital and physical domains. These lighthearted works of fiction mirror the uncanny convergence we seek to explore in our rigorous empirical study.
In a series of social media musings that caught our attention, users across various platforms have jokingly speculated about the potential correlation between one's choice of desktop background and their likelihood of engaging in criminal activities. While these posts were undoubtedly tongue-in-cheek, the underlying theme of the unexpected link between aesthetics and criminality resonated with our own research interests, prompting us to embark on this scholarly pursuit.
As we navigate through the labyrinth of existing literature, it becomes evident that the intersection of virtual aesthetics and criminal behavior is a topic that has not received the attention it deserves. However, as our investigation unfolds, it promises to bring a touch of whimsy to the realm of academic inquiry, challenging conventional wisdom and inviting scholars to consider the unexpected connections that shape our world.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the methodology section of an academic research paper presenting the findings of the connection between Robberies in District of Columbia and Google searches for 'desktop background'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from FBI Criminal Justice Information Services and Google Trends . You used data from 2007 to 2022
Make up the research methods you don't know. Make them a bit goofy and convoluted.
Here is the title, abstract, and introduction of the paper:
[[TITLE]]
The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'
[[ABSTRACT]]
This paper presents the findings of a study examining the intriguing relationship between the occurrence of robberies in District of Columbia and the prevalence of Google searches for 'desktop background'. Utilizing data from FBI Criminal Justice Information Services and Google Trends, the research team conducted a comprehensive analysis for the period of 2007 to 2022. Surprisingly, a remarkably high correlation coefficient of 0.9486691 and a statistically significant p-value of less than 0.01 were observed. The implications of these findings and the potential explanations behind this unexpected correlation are thoroughly discussed, shedding light on the whimsical nature of human behavior and the transformative power of desktop aesthetics.
[[INTRODUCTION]]
In the sprawling metropolis of the District of Columbia, where the hustle and bustle of urban life intersects with the serene glow of computer screens, a peculiar relationship has emerged. The crossroads between criminal activity and virtual aesthetics form the backdrop of our investigation, as we delve into the curious correlation between robberies and Google searches for 'desktop background'.
While one might initially dismiss this seemingly frivolous connection as mere happenstance, our research endeavors to unravel the enigmatic web of causality that links crimes in the physical realm to the virtual quest for visual allure. The allure of desktop backgrounds may seem innocuous, but as our study reveals, it may hold unforeseen influence over criminal proclivities.
As we embark on this lighthearted yet thought-provoking exploration, it is imperative to acknowledge the glaring juxtaposition of the serious matter of criminal activity with the seemingly trivial pursuit of desktop customization. However, it is precisely within this interplay of the weighty and the whimsical that the nuance of human behavior is laid bare, offering a glimpse into the intricate tapestry of motivations that underpin our societal dynamics.
The pursuit of understanding the relationship between robberies and desktop backgrounds may initially appear far-fetched, yet the empirical evidence that we present will compel even the staunchest skeptics to reconsider their assumptions. With a nod to the capricious nature of human behavior and the unexpected synergies that underlie it, our research unearths unexpected correlations that prompt both chuckles and contemplation.
As we navigate the terrain of statistical analysis and psychological inference, the fusion of the serious and the playful becomes apparent, mirroring the delightful unpredictability of humanity itself. Join us in this academic escapade as we venture into the realm where crime statistics and digital delights converge, shedding light on the whimsical nature of our collective actions and the transformative power of aesthetics, even in the unlikeliest of contexts.
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To investigate the beguiling relationship between robberies in District of Columbia and Google searches for 'desktop background', a multifaceted and somewhat eccentric methodology was devised. Our research team meticulously gathered data from FBI Criminal Justice Information Services and Google Trends, employing a combination of quantitative analysis, inferential statistics, and a touch of whimsy.
The analysis of robbery data involved a detailed examination of reported incidents, categorization by location within the District of Columbia, and a fervent hope that the data was representative of actual criminal activities. These data points were then cross-referenced with the frequency of Google searches for 'desktop background', culled with a zest for the unusual patterns that emerged.
In order to establish the strength and direction of the relationship between robberies and desktop background searches, we employed the Pearson correlation coefficient, inviting statistical parameters to dance the tango with digital aesthetics. Simultaneously, a time series analysis was conducted to explore the temporal dynamics of this unexpected nexus, while not forgetting to acknowledge the whimsical nature of the data we had set out to analyze.
Furthermore, to ascertain the robustness of our findings, a series of sensitivity analyses were performed to evaluate the stability of the correlation across different time periods, employing a lighthearted touch to balance the seriousness of statistical examination.
Lastly, a detailed examination of the potential confounding variables, such as seasonality, public events, and the waxing and waning of desktop background trends, was undertaken to mitigate the risk of spurious results. Here, we acknowledged that there was a risk of losing ourselves in the quirky interconnectedness of criminal activity and virtual aesthetics, but embraced it with open arms.
Throughout, we strived to maintain a balance between rigorous empiricism and a tongue-in-cheek spirit that permeates this peculiar investigation. The result is a methodological approach that marries the sincerity of scientific inquiry with the playfulness of uncovering unexpected correlations, revealing the delightful capriciousness that underlies the exploration of human behavior in its various, and occasionally baffling, manifestations.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the results section of an academic research paper presenting the findings of the connection between Robberies in District of Columbia and Google searches for 'desktop background'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Your research team collected data from all across the internet, but mostly just used information from FBI Criminal Justice Information Services and Google Trends .
For the time period 2007 to 2022, you found a correlation 0.9486691, r-squared of 0.8999730, and p < 0.01.
One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.
Here is the title and abstract of the paper:
[[TITLE]]
The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'
[[ABSTRACT]]
This paper presents the findings of a study examining the intriguing relationship between the occurrence of robberies in District of Columbia and the prevalence of Google searches for 'desktop background'. Utilizing data from FBI Criminal Justice Information Services and Google Trends, the research team conducted a comprehensive analysis for the period of 2007 to 2022. Surprisingly, a remarkably high correlation coefficient of 0.9486691 and a statistically significant p-value of less than 0.01 were observed. The implications of these findings and the potential explanations behind this unexpected correlation are thoroughly discussed, shedding light on the whimsical nature of human behavior and the transformative power of desktop aesthetics.
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the sprawling metropolis of the District of Columbia, where the hustle and bustle of urban life intersects with the serene glow of computer screens, a peculiar relationship has emerged. The crossroads between criminal activity and virtual aesthetics form the backdrop of our investigation, as we delve into the curious correlation between robberies and Google searches for 'desktop background'.
While one might initially dismiss this seemingly frivolous connection as mere happenstance, our research endeavors to unravel the enigmatic web of causality that links crimes in the physical realm to the virtual quest for visual allure. The allure of desktop backgrounds may seem innocuous, but as our study reveals, it may hold unforeseen influence over criminal proclivities.
As we embark on this lighthearted yet thought-provoking exploration, it is imperative to acknowledge the glaring juxtaposition of the serious matter of criminal activity with the seemingly trivial pursuit of desktop customization. However, it is precisely within this interplay of the weighty and the whimsical that the nuance of human behavior is laid bare, offering a glimpse into the intricate tapestry of motivations that underpin our societal dynamics.
The pursuit of understanding the relationship between robberies and desktop backgrounds may initially appear far-fetched, yet the empirical evidence that we present will compel even the staunchest skeptics to reconsider their assumptions. With a nod to the capricious nature of human behavior and the unexpected synergies that underlie it, our research unearths unexpected correlations that prompt both chuckles and contemplation.
As we navigate the terrain of statistical analysis and psychological inference, the fusion of the serious and the playful becomes apparent, mirroring the delightful unpredictability of humanity itself. Join us in this academic escapade as we venture into the realm where crime statistics and digital delights converge, shedding light on the whimsical nature of our collective actions and the transformative power of aesthetics, even in the unlikeliest of contexts.
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the data revealed a striking correlation between the occurrences of robberies in the District of Columbia and the frequency of Google searches for 'desktop background'. The correlation coefficient of 0.9486691 indicates a remarkably strong positive relationship between the two variables. Additionally, the r-squared value of 0.8999730 suggests that a substantial portion of the variability in robbery occurrences can be explained by fluctuations in the search volume for 'desktop background'. The p-value of less than 0.01 further underscores the statistical significance of this correlation, firmly establishing the robustness of the observed relationship.
Fig. 1 displays a scatterplot illustrating the pronounced correlation between robberies in the District of Columbia and Google searches for 'desktop background'. The data points are tightly clustered around a positively sloped regression line, visually capturing the compelling relationship uncovered by our analysis.
The findings of this study not only confirm the presence of a significant correlation between robberies and Google searches for 'desktop background', but also open the doors to a myriad of possible explanations for this unexpected association. While further research is needed to fully comprehend the underlying mechanisms driving this peculiar relationship, the results presented here serve as a compelling impetus for continued exploration into the whimsical and often enigmatic nature of human behavior.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up the discussion section of an academic research paper presenting the findings of the connection between Robberies in District of Columbia and Google searches for 'desktop background'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Limit your response to 500 tokens.
Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.
Do not write a conclusion. I will add a conclusion after this.
[[TITLE]]
The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'
[[ABSTRACT]]
This paper presents the findings of a study examining the intriguing relationship between the occurrence of robberies in District of Columbia and the prevalence of Google searches for 'desktop background'. Utilizing data from FBI Criminal Justice Information Services and Google Trends, the research team conducted a comprehensive analysis for the period of 2007 to 2022. Surprisingly, a remarkably high correlation coefficient of 0.9486691 and a statistically significant p-value of less than 0.01 were observed. The implications of these findings and the potential explanations behind this unexpected correlation are thoroughly discussed, shedding light on the whimsical nature of human behavior and the transformative power of desktop aesthetics.
[[LITERATURE REVIEW]]
The perplexing correlation between robberies in the District of Columbia and Google searches for 'desktop background' has captured the attention of researchers from various disciplines. Smith et al. (2015) conducted a comprehensive study on crime patterns in urban environments, shedding light on the complex interplay between socioeconomic factors and criminal behavior. However, it is the unexpected link to virtual aesthetics that adds a whimsical twist to the rather serious topic of criminal activities. Doe and Jones (2018) analyzed the impact of digital culture on modern society, exploring the allure of virtual spaces and the way in which they intersect with real-world experiences. Their findings hint at the potential influence of digital environments on human behavior, laying the groundwork for our investigation into the desktop bandit phenomenon.
In "Cyberspace and Society," the authors delve into the intricate dynamics of online interactions, offering valuable insights into the ways in which virtual realms can shape our perceptions and actions. The virtual realm, it seems, holds more sway over our physical reality than we may care to admit. On the fictional front, books such as "The Desktop Detective Chronicles" and "The Cybercrime Conundrum" paint fantastical narratives that, while purely imaginative, touch upon the curious interconnectedness of digital and physical domains. These lighthearted works of fiction mirror the uncanny convergence we seek to explore in our rigorous empirical study.
In a series of social media musings that caught our attention, users across various platforms have jokingly speculated about the potential correlation between one's choice of desktop background and their likelihood of engaging in criminal activities. While these posts were undoubtedly tongue-in-cheek, the underlying theme of the unexpected link between aesthetics and criminality resonated with our own research interests, prompting us to embark on this scholarly pursuit.
As we navigate through the labyrinth of existing literature, it becomes evident that the intersection of virtual aesthetics and criminal behavior is a topic that has not received the attention it deserves. However, as our investigation unfolds, it promises to bring a touch of whimsy to the realm of academic inquiry, challenging conventional wisdom and inviting scholars to consider the unexpected connections that shape our world.
[[RESULTS]]
The analysis of the data revealed a striking correlation between the occurrences of robberies in the District of Columbia and the frequency of Google searches for 'desktop background'. The correlation coefficient of 0.9486691 indicates a remarkably strong positive relationship between the two variables. Additionally, the r-squared value of 0.8999730 suggests that a substantial portion of the variability in robbery occurrences can be explained by fluctuations in the search volume for 'desktop background'. The p-value of less than 0.01 further underscores the statistical significance of this correlation, firmly establishing the robustness of the observed relationship.
Fig. 1 displays a scatterplot illustrating the pronounced correlation between robberies in the District of Columbia and Google searches for 'desktop background'. The data points are tightly clustered around a positively sloped regression line, visually capturing the compelling relationship uncovered by our analysis.
The findings of this study not only confirm the presence of a significant correlation between robberies and Google searches for 'desktop background', but also open the doors to a myriad of possible explanations for this unexpected association. While further research is needed to fully comprehend the underlying mechanisms driving this peculiar relationship, the results presented here serve as a compelling impetus for continued exploration into the whimsical and often enigmatic nature of human behavior.
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
The results of our study have amusingly affirmed the previous inconspicuous and whimsical insights from the literature review. The unexpected correlation between robberies in the District of Columbia and Google searches for 'desktop background' has left even the most astute of researchers scratching their heads, much like a cat pondering the intricacies of string theory. Our findings align with the research by Smith et al. (2015) and Doe and Jones (2018), serving as a beacon of light in the fleeting darkness of this peculiar phenomenon.
It tickles the fancy of the academic mind to see the convergence of virtual aesthetics and criminal behavior manifesting in such a tangible manner. The somewhat fantastical narratives and social media musings that initially appeared frivolous have now metamorphosed into substantial evidence of the unique interconnectedness of digital and physical realms.
The pronounced correlation coefficient and statistically significant p-value are akin to finding a rare gem in a field of statistical haystacks. The scatterplot, like a work of abstract art, vividly portrays the intriguing relationship uncovered by our analysis, capturing the essence of this unexpected association with all the gravitas of a Renaissance masterpiece.
It's almost as though the virtual world has come knocking at the door of our empirical understanding, boldly asserting its influence on the gritty corridors of crime-ridden streets. While we refrain from definitive explanations at this point, the results of this study act as a whimsical springboard for further exploration into the peculiar nuances of human behavior.
As we await the unfolding chapters of this intriguing tale, it is essential for researchers to approach this phenomenon with a keen eye for whimsy and an open heart for the unexpected. After all, as Sherlock Holmes once said, "The world is full of obvious things which nobody by any chance ever observes." The unexpected connection between desktop backgrounds and criminal activity may very well be one of these obvious yet overlooked curiosities.
Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.
Please make up a short conclusion of an academic research paper presenting the findings of the connection between Robberies in District of Columbia and Google searches for 'desktop background'. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.
Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.
Here are the title, abstract, introduction, and results sections.
[[TITLE]]
The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'
[[ABSTRACT]]
This paper presents the findings of a study examining the intriguing relationship between the occurrence of robberies in District of Columbia and the prevalence of Google searches for 'desktop background'. Utilizing data from FBI Criminal Justice Information Services and Google Trends, the research team conducted a comprehensive analysis for the period of 2007 to 2022. Surprisingly, a remarkably high correlation coefficient of 0.9486691 and a statistically significant p-value of less than 0.01 were observed. The implications of these findings and the potential explanations behind this unexpected correlation are thoroughly discussed, shedding light on the whimsical nature of human behavior and the transformative power of desktop aesthetics.
[[INTRDUCTION]]
In the sprawling metropolis of the District of Columbia, where the hustle and bustle of urban life intersects with the serene glow of computer screens, a peculiar relationship has emerged. The crossroads between criminal activity and virtual aesthetics form the backdrop of our investigation, as we delve into the curious correlation between robberies and Google searches for 'desktop background'.
While one might initially dismiss this seemingly frivolous connection as mere happenstance, our research endeavors to unravel the enigmatic web of causality that links crimes in the physical realm to the virtual quest for visual allure. The allure of desktop backgrounds may seem innocuous, but as our study reveals, it may hold unforeseen influence over criminal proclivities.
As we embark on this lighthearted yet thought-provoking exploration, it is imperative to acknowledge the glaring juxtaposition of the serious matter of criminal activity with the seemingly trivial pursuit of desktop customization. However, it is precisely within this interplay of the weighty and the whimsical that the nuance of human behavior is laid bare, offering a glimpse into the intricate tapestry of motivations that underpin our societal dynamics.
The pursuit of understanding the relationship between robberies and desktop backgrounds may initially appear far-fetched, yet the empirical evidence that we present will compel even the staunchest skeptics to reconsider their assumptions. With a nod to the capricious nature of human behavior and the unexpected synergies that underlie it, our research unearths unexpected correlations that prompt both chuckles and contemplation.
As we navigate the terrain of statistical analysis and psychological inference, the fusion of the serious and the playful becomes apparent, mirroring the delightful unpredictability of humanity itself. Join us in this academic escapade as we venture into the realm where crime statistics and digital delights converge, shedding light on the whimsical nature of our collective actions and the transformative power of aesthetics, even in the unlikeliest of contexts.
[[RESULTS]]
The analysis of the data revealed a striking correlation between the occurrences of robberies in the District of Columbia and the frequency of Google searches for 'desktop background'. The correlation coefficient of 0.9486691 indicates a remarkably strong positive relationship between the two variables. Additionally, the r-squared value of 0.8999730 suggests that a substantial portion of the variability in robbery occurrences can be explained by fluctuations in the search volume for 'desktop background'. The p-value of less than 0.01 further underscores the statistical significance of this correlation, firmly establishing the robustness of the observed relationship.
Fig. 1 displays a scatterplot illustrating the pronounced correlation between robberies in the District of Columbia and Google searches for 'desktop background'. The data points are tightly clustered around a positively sloped regression line, visually capturing the compelling relationship uncovered by our analysis.
The findings of this study not only confirm the presence of a significant correlation between robberies and Google searches for 'desktop background', but also open the doors to a myriad of possible explanations for this unexpected association. While further research is needed to fully comprehend the underlying mechanisms driving this peculiar relationship, the results presented here serve as a compelling impetus for continued exploration into the whimsical and often enigmatic nature of human behavior.
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Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, the results of our study undeniably unveil the unexpected bond between robberies in the District of Columbia and the quest for visual allure in the virtual realm of desktop backgrounds. The resounding correlation coefficient and the statistically significant p-value leave little room for doubt about the peculiar interplay between criminal proclivities and digital aesthetics. It is as though the nefarious intruders are not just after valuables but also seeking out the perfect backdrop for their misdeeds – a true case of criminal behavior mirroring desktop drama.
However, while our findings prompt a smirk and a raised eyebrow, it is essential to recognize the need for further exploration into the underlying motivations and intricate mechanisms at play. The whimsy of human behavior does not adhere to traditional boundaries and invites us to venture beyond the conventional realms of research. As we glance into the intersection of crime statistics and desktop customization, we are reminded that the enigmatic tapestry of motivations and influences is as vibrant and unpredictable as the kaleidoscope of desktop backgrounds itself.
In light of the undeniable correlation and the delightful yet thought-provoking implications, we assert that no further research is needed in this area, as we have conclusively proven the existence of an unexpected link between robberies in the District of Columbia and the pursuit of aesthetic delight in the virtual world. It is crystal clear – the desktop bandit phenomenon deserves its place in the annals of quirky correlations, at once confounding and captivating in its playful unpredictability.
Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Applied Absurdity
Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Cognitive Behavioral Criminology
Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background' with an abstract of This paper presents the findings of a study examining the intriguing relationship between the occurrence of robberies in District of Columbia and the prevalence of Google searches for 'desktop background'. Utilizing data from FBI Criminal Justice Information Services and Google Trends, the research team conducted a comprehensive analysis for the period of 2007 to 2022. Surprisingly, a remarkably high correlation coefficient of 0.9486691 and a statistically significant p-value of less than 0.01 were observed. The implications of these findings and the potential explanations behind this unexpected correlation are thoroughly discussed, shedding light on the whimsical nature of human behavior and the transformative power of desktop aesthetics.
ChatGPT:
robberies, District of Columbia, Google searches, 'desktop background', correlation, FBI Criminal Justice Information Services, Google Trends, correlation coefficient, p-value, human behavior, desktop aesthetics
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
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Data details
Robberies in District of ColumbiaDetailed data title: The robbery rate per 100,000 residents in District of Columbia
Source: FBI Criminal Justice Information Services
See what else correlates with Robberies in District of Columbia
Google searches for 'desktop background'
Detailed data title: Relative volume of Google searches for 'desktop background' (Worldwide, without quotes)
Source: Google Trends
Additional Info: Relative search volume (not absolute numbers)
See what else correlates with Google searches for 'desktop background'
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.
r2 = 0.8999730 (Coefficient of determination)
This means 90% of the change in the one variable (i.e., Google searches for 'desktop background') is predictable based on the change in the other (i.e., Robberies in District of Columbia) over the 16 years from 2007 through 2022.
p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.2E-8. 0.0000000219716017134674200000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.
But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.
Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.95 in 2.2E-6% of random cases. Said differently, if you correlated 45,513,295 random variables You don't actually need 45 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.
p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.
In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.
Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 15 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 15 because we have two variables measured over a period of 16 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.
[ 0.86, 0.98 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.
This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!
All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.
Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
Robberies in District of Columbia (Robbery rate) | 725 | 748.5 | 734.4 | 715 | 661.4 | 637.3 | 628.9 | 530 | 558.8 | 511.4 | 377.3 | 344.2 | 383.2 | 332.9 | 391.5 | 357.5 |
Google searches for 'desktop background' (Rel. search volume) | 81.8333 | 86.5 | 75.3333 | 66.1667 | 60.3333 | 54.75 | 46.1667 | 41.9167 | 38.8333 | 30.5833 | 26.75 | 23.9167 | 22.4167 | 24.75 | 20 | 22.25 |
Why this works
- Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
- Lack of causal connection: There is probably
Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied. - Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple
Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.Step 2: Open a plaintext editor like Notepad and paste the code below into it.
Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"
Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.
Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.
Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.
Step 7: Run the Python script by typing "python calculate_correlation.py"
If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:
"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."
# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats
# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):
# Calculate Pearson correlation coefficient and p-value
correlation, p_value = stats.pearsonr(array1, array2)
# Calculate R-squared as the square of the correlation coefficient
r_squared = correlation**2
return correlation, r_squared, p_value
# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([725,748.5,734.4,715,661.4,637.3,628.9,530,558.8,511.4,377.3,344.2,383.2,332.9,391.5,357.5,])
array_2 = np.array([81.8333,86.5,75.3333,66.1667,60.3333,54.75,46.1667,41.9167,38.8333,30.5833,26.75,23.9167,22.4167,24.75,20,22.25,])
array_1_name = "Robberies in District of Columbia"
array_2_name = "Google searches for 'desktop background'"
# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)
# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)
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You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.
For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."
When spoken, my last name is pronounced "vegan," like I don't eat meat.
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Download images for these variables:
- High resolution line chart
The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.
If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.
Alternatively you can use a tool like Inkscape. - High resolution line chart, optimized for mobile
- Alternative high resolution line chart
- Scatterplot
- Portable line chart (png)
- Portable line chart (png), optimized for mobile
- Line chart for only Robberies in District of Columbia
- Line chart for only Google searches for 'desktop background'
- AI-generated correlation image
- The spurious research paper: The Desktop Bandit: Examining the Relationship Between Robberies in District of Columbia and Google Searches for 'Desktop Background'
I'm genuinely thankful for your rating!
Correlation ID: 2425 · Black Variable ID: 20232 · Red Variable ID: 1462